{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/chrisclary/Dropbox/Dancess/Conjoint Collaboration/FPA/Final Data/clary_siddiqui_replication_log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}14 Jul 2020, 12:00:19

{com}. do "/var/folders/b6/tnxfsy1d143f43ksfk49djw40000gn/T//SD85834.000000"
{txt}
{com}. set more off
{txt}
{com}. 
. * "This led to a sample with 50% of respondents from Punjab, 20% from Khyber Pakhtunkhwa, and 30% from Sindh."
. fre province
{res}
{txt}province
{txt}{hline 16}{hline 1}{c TT}{hline 44}
{txt}        {txt}         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 16}{hline 1}{c +}{hline 44}
{txt}Valid   1 Punjab {c |}{res}       5964      49.95      49.95      49.95
{txt}        2 KPK    {c |}{res}       2364      19.80      19.80      69.75
{txt}        3 Sindh  {c |}{res}       3612      30.25      30.25     100.00
{txt}        Total    {c |}{res}      11940     100.00     100.00           
{txt}{hline 16}{hline 1}{c BT}{hline 44}

{com}. 
. * "Candidates supporting friendly relations with India were rated 0.01 points lower by respondents,"
. * "a quantity indistinguishable from zero using conventional levels of statistical significance (p=.75)..."
. reg likert india, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(1, 1989)        =  {res}     0.10
                                                {txt}Prob > F          = {res}    0.7476
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} 2.1219

{txt}{ralign 78:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      likert{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.013{col 26}{space 2}    0.040{col 37}{space 1}   -0.32{col 46}{space 3}0.748{col 54}{space 4}   -0.091{col 67}{space 3}    0.065
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    4.302{col 26}{space 2}    0.062{col 37}{space 1}   69.73{col 46}{space 3}0.000{col 54}{space 4}    4.181{col 67}{space 3}    4.423
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * "...and had a 2 percent lower probability of being selected in the forced choice setup, a modest but"
. * "statistically significant difference (p<.05) from those advocating a hardline toward India.
. reg forced india, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(1, 1989)        =  {res}     4.57
                                                {txt}Prob > F          = {res}    0.0326
                                                {txt}R-squared         = {res}    0.0004
                                                {txt}Root MSE          =    {res} .49994

{txt}{ralign 78:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.020{col 26}{space 2}    0.009{col 37}{space 1}   -2.14{col 46}{space 3}0.033{col 54}{space 4}   -0.039{col 67}{space 3}   -0.002
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.530{col 26}{space 2}    0.014{col 37}{space 1}   37.36{col 46}{space 3}0.000{col 54}{space 4}    0.503{col 67}{space 3}    0.558
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *** Figure 1: Provinces
. reg forced india##province, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(5, 1989)        =  {res}     1.59
                                                {txt}Prob > F          = {res}    0.1592
                                                {txt}R-squared         = {res}    0.0008
                                                {txt}Root MSE          =    {res} .49993

{txt}{ralign 81:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         forced{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}india {c |}
{space 6}Friendly  {c |}{col 17}{res}{space 2}   -0.003{col 29}{space 2}    0.013{col 40}{space 1}   -0.23{col 49}{space 3}0.820{col 57}{space 4}   -0.029{col 70}{space 3}    0.023
{txt}{space 15} {c |}
{space 7}province {c |}
{space 11}KPK  {c |}{col 17}{res}{space 2}    0.024{col 29}{space 2}    0.013{col 40}{space 1}    1.81{col 49}{space 3}0.071{col 57}{space 4}   -0.002{col 70}{space 3}    0.051
{txt}{space 9}Sindh  {c |}{col 17}{res}{space 2}    0.012{col 29}{space 2}    0.010{col 40}{space 1}    1.20{col 49}{space 3}0.232{col 57}{space 4}   -0.008{col 70}{space 3}    0.033
{txt}{space 15} {c |}
{space 1}india#province {c |}
{space 2}Friendly#KPK  {c |}{col 17}{res}{space 2}   -0.049{col 29}{space 2}    0.027{col 40}{space 1}   -1.81{col 49}{space 3}0.071{col 57}{space 4}   -0.101{col 70}{space 3}    0.004
{txt}Friendly#Sindh  {c |}{col 17}{res}{space 2}   -0.025{col 29}{space 2}    0.021{col 40}{space 1}   -1.20{col 49}{space 3}0.229{col 57}{space 4}   -0.066{col 70}{space 3}    0.016
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}    0.502{col 29}{space 2}    0.007{col 40}{space 1}   75.65{col 49}{space 3}0.000{col 57}{space 4}    0.489{col 70}{space 3}    0.515
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg forced india, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(1, 1989)        =  {res}     4.57
                                                {txt}Prob > F          = {res}    0.0326
                                                {txt}R-squared         = {res}    0.0004
                                                {txt}Root MSE          =    {res} .49994

{txt}{ralign 78:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.020{col 26}{space 2}    0.009{col 37}{space 1}   -2.14{col 46}{space 3}0.033{col 54}{space 4}   -0.039{col 67}{space 3}   -0.002
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.530{col 26}{space 2}    0.014{col 37}{space 1}   37.36{col 46}{space 3}0.000{col 54}{space 4}    0.503{col 67}{space 3}    0.558
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo all
{txt}
{com}. reg forced india if province==1, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     5,964
                                                {txt}F(1, 993)         =  {res}     0.05
                                                {txt}Prob > F          = {res}    0.8205
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .50008

{txt}{ralign 78:(Std. Err. adjusted for {res:994} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.003{col 26}{space 2}    0.013{col 37}{space 1}   -0.23{col 46}{space 3}0.821{col 54}{space 4}   -0.029{col 67}{space 3}    0.023
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.505{col 26}{space 2}    0.020{col 37}{space 1}   25.32{col 46}{space 3}0.000{col 54}{space 4}    0.465{col 67}{space 3}    0.544
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo punjab
{txt}
{com}. reg forced india if province==3, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     3,612
                                                {txt}F(1, 601)         =  {res}     3.02
                                                {txt}Prob > F          = {res}    0.0826
                                                {txt}R-squared         = {res}    0.0008
                                                {txt}Root MSE          =    {res} .49994

{txt}{ralign 78:(Std. Err. adjusted for {res:602} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.028{col 26}{space 2}    0.016{col 37}{space 1}   -1.74{col 46}{space 3}0.083{col 54}{space 4}   -0.060{col 67}{space 3}    0.004
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.542{col 26}{space 2}    0.024{col 37}{space 1}   22.33{col 46}{space 3}0.000{col 54}{space 4}    0.495{col 67}{space 3}    0.590
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo sindh
{txt}
{com}. reg forced india if province==2, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     2,364
                                                {txt}F(1, 393)         =  {res}     4.86
                                                {txt}Prob > F          = {res}    0.0281
                                                {txt}R-squared         = {res}    0.0027
                                                {txt}Root MSE          =    {res} .49955

{txt}{ralign 78:(Std. Err. adjusted for {res:394} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.052{col 26}{space 2}    0.023{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}   -0.098{col 67}{space 3}   -0.006
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.577{col 26}{space 2}    0.035{col 37}{space 1}   16.43{col 46}{space 3}0.000{col 54}{space 4}    0.508{col 67}{space 3}    0.647
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo kpk
{txt}
{com}. coefplot all punjab sindh kpk , drop(_cons) xline(0, lpattern(dash)) scheme(s1mono) legend(row(1))
{res}{txt}
{com}. 
. *** Figure 2: Punjab
. reg forced i.party i.biradari i.campaign i.agenda i.india if province==1, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     5,964
                                                {txt}F(9, 993)         =  {res}    54.99
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0690
                                                {txt}Root MSE          =    {res} .48285

{txt}{ralign 78:(Std. Err. adjusted for {res:994} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}party {c |}
{space 6}PML-N  {c |}{col 14}{res}{space 2}    0.296{col 26}{space 2}    0.018{col 37}{space 1}   16.42{col 46}{space 3}0.000{col 54}{space 4}    0.261{col 67}{space 3}    0.332
{txt}{space 8}PTI  {c |}{col 14}{res}{space 2}    0.095{col 26}{space 2}    0.019{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4}    0.056{col 67}{space 3}    0.133
{txt}{space 5}Indep.  {c |}{col 14}{res}{space 2}    0.111{col 26}{space 2}    0.019{col 37}{space 1}    5.86{col 46}{space 3}0.000{col 54}{space 4}    0.074{col 67}{space 3}    0.149
{txt}{space 12} {c |}
{space 4}biradari {c |}
{space 3}Your bir  {c |}{col 14}{res}{space 2}    0.064{col 26}{space 2}    0.014{col 37}{space 1}    4.75{col 46}{space 3}0.000{col 54}{space 4}    0.038{col 67}{space 3}    0.091
{txt}{space 12} {c |}
{space 4}campaign {c |}
{space 3}ran a pe  {c |}{col 14}{res}{space 2}    0.119{col 26}{space 2}    0.013{col 37}{space 1}    8.90{col 46}{space 3}0.000{col 54}{space 4}    0.093{col 67}{space 3}    0.146
{txt}{space 12} {c |}
{space 6}agenda {c |}
{space 3}reduce c  {c |}{col 14}{res}{space 2}    0.049{col 26}{space 2}    0.018{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4}    0.013{col 67}{space 3}    0.085
{txt}{space 3}favor yo  {c |}{col 14}{res}{space 2}    0.049{col 26}{space 2}    0.017{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4}    0.015{col 67}{space 3}    0.083
{txt}{space 3}improve   {c |}{col 14}{res}{space 2}    0.081{col 26}{space 2}    0.017{col 37}{space 1}    4.68{col 46}{space 3}0.000{col 54}{space 4}    0.047{col 67}{space 3}    0.115
{txt}{space 12} {c |}
{space 7}india {c |}
{space 3}Friendly  {c |}{col 14}{res}{space 2}   -0.008{col 26}{space 2}    0.013{col 37}{space 1}   -0.60{col 46}{space 3}0.547{col 54}{space 4}   -0.033{col 67}{space 3}    0.017
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.238{col 26}{space 2}    0.019{col 37}{space 1}   12.58{col 46}{space 3}0.000{col 54}{space 4}    0.201{col 67}{space 3}    0.275
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. coefplot, drop(_cons) xline(0, lpattern(dash)) baselevels scheme(s1mono)
{res}{txt}
{com}. 
. * Footnote 11
. gen punjabi=1 if ethnicity==2
{txt}(6,768 missing values generated)

{com}. replace punjabi=0 if ethnicity!=2
{txt}(6,768 real changes made)

{com}. reg forced india if punjabi==1, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     5,172
                                                {txt}F(1, 861)         =  {res}     0.83
                                                {txt}Prob > F          = {res}    0.3639
                                                {txt}R-squared         = {res}    0.0002
                                                {txt}Root MSE          =    {res} .50005

{txt}{ralign 78:(Std. Err. adjusted for {res:862} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.013{col 26}{space 2}    0.014{col 37}{space 1}   -0.91{col 46}{space 3}0.364{col 54}{space 4}   -0.042{col 67}{space 3}    0.015
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.520{col 26}{space 2}    0.022{col 37}{space 1}   23.89{col 46}{space 3}0.000{col 54}{space 4}    0.477{col 67}{space 3}    0.562
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg forced india if province==1&punjabi==1, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     4,788
                                                {txt}F(1, 797)         =  {res}     0.41
                                                {txt}Prob > F          = {res}    0.5238
                                                {txt}R-squared         = {res}    0.0001
                                                {txt}Root MSE          =    {res} .50008

{txt}{ralign 78:(Std. Err. adjusted for {res:798} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.010{col 26}{space 2}    0.015{col 37}{space 1}   -0.64{col 46}{space 3}0.524{col 54}{space 4}   -0.039{col 67}{space 3}    0.020
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.514{col 26}{space 2}    0.023{col 37}{space 1}   22.75{col 46}{space 3}0.000{col 54}{space 4}    0.470{col 67}{space 3}    0.559
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *** Figure 3: Education
. * Education
. gen educ3=1 if education==1|education==3
{txt}(7,446 missing values generated)

{com}. replace educ3=2 if education==4|education==5
{txt}(4,902 real changes made)

{com}. replace educ3=3 if education==6|education==7|education==8
{txt}(2,112 real changes made)

{com}. reg forced india if educ3==1, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     4,494
                                                {txt}F(1, 748)         =  {res}     5.23
                                                {txt}Prob > F          = {res}    0.0225
                                                {txt}R-squared         = {res}    0.0012
                                                {txt}Root MSE          =    {res}  .4998

{txt}{ralign 78:(Std. Err. adjusted for {res:749} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.035{col 26}{space 2}    0.015{col 37}{space 1}   -2.29{col 46}{space 3}0.023{col 54}{space 4}   -0.065{col 67}{space 3}   -0.005
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.552{col 26}{space 2}    0.023{col 37}{space 1}   24.12{col 46}{space 3}0.000{col 54}{space 4}    0.507{col 67}{space 3}    0.597
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto loeduc
{txt}
{com}. reg forced india if educ3==2, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     4,902
                                                {txt}F(1, 816)         =  {res}     1.24
                                                {txt}Prob > F          = {res}    0.2660
                                                {txt}R-squared         = {res}    0.0003
                                                {txt}Root MSE          =    {res} .50003

{txt}{ralign 78:(Std. Err. adjusted for {res:817} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.017{col 26}{space 2}    0.015{col 37}{space 1}   -1.11{col 46}{space 3}0.266{col 54}{space 4}   -0.046{col 67}{space 3}    0.013
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.525{col 26}{space 2}    0.023{col 37}{space 1}   23.19{col 46}{space 3}0.000{col 54}{space 4}    0.481{col 67}{space 3}    0.570
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto mideduc
{txt}
{com}. reg forced india if educ3==3, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     2,112
                                                {txt}F(1, 351)         =  {res}     0.32
                                                {txt}Prob > F          = {res}    0.5742
                                                {txt}R-squared         = {res}    0.0002
                                                {txt}Root MSE          =    {res}  .5002

{txt}{ralign 78:(Std. Err. adjusted for {res:352} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}    0.012{col 26}{space 2}    0.022{col 37}{space 1}    0.56{col 46}{space 3}0.574{col 54}{space 4}   -0.031{col 67}{space 3}    0.055
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.481{col 26}{space 2}    0.033{col 37}{space 1}   14.63{col 46}{space 3}0.000{col 54}{space 4}    0.417{col 67}{space 3}    0.546
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto hieduc
{txt}
{com}. reg forced india##educ3, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,508
                                                {txt}F(5, 1917)        =  {res}     1.36
                                                {txt}Prob > F          = {res}    0.2373
                                                {txt}R-squared         = {res}    0.0006
                                                {txt}Root MSE          =    {res} .49997

{txt}{ralign 78:(Std. Err. adjusted for {res:1,918} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}
{space 3}Friendly  {c |}{col 14}{res}{space 2}   -0.035{col 26}{space 2}    0.015{col 37}{space 1}   -2.29{col 46}{space 3}0.022{col 54}{space 4}   -0.065{col 67}{space 3}   -0.005
{txt}{space 12} {c |}
{space 7}educ3 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}   -0.009{col 26}{space 2}    0.011{col 37}{space 1}   -0.81{col 46}{space 3}0.417{col 54}{space 4}   -0.030{col 67}{space 3}    0.012
{txt}{space 10}3  {c |}{col 14}{res}{space 2}   -0.023{col 26}{space 2}    0.013{col 37}{space 1}   -1.75{col 46}{space 3}0.080{col 54}{space 4}   -0.049{col 67}{space 3}    0.003
{txt}{space 12} {c |}
{space 1}india#educ3 {c |}
{space 1}Friendly#2  {c |}{col 14}{res}{space 2}    0.018{col 26}{space 2}    0.022{col 37}{space 1}    0.86{col 46}{space 3}0.391{col 54}{space 4}   -0.024{col 67}{space 3}    0.061
{txt}{space 1}Friendly#3  {c |}{col 14}{res}{space 2}    0.047{col 26}{space 2}    0.027{col 37}{space 1}    1.78{col 46}{space 3}0.076{col 54}{space 4}   -0.005{col 67}{space 3}    0.100
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}    0.517{col 26}{space 2}    0.008{col 37}{space 1}   68.84{col 46}{space 3}0.000{col 54}{space 4}    0.502{col 67}{space 3}    0.532
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. coefplot loeduc mideduc hieduc, drop(_cons) xline(0, lpattern(dash)) scheme(s1mono) legend(col(1))
{res}{txt}
{com}. 
. *** Figure 4: Age
. gen young=1 if age<30&age!=.
{txt}(7,764 missing values generated)

{com}. replace young=0 if age>=30&age!=.
{txt}(7,764 real changes made)

{com}. gen middleage=1 if age>=30&age<=55
{txt}(5,088 missing values generated)

{com}. replace middleage=0 if middleage!=1&age!=.
{txt}(5,088 real changes made)

{com}. gen old=1 if age>55&age!=.
{txt}(11,028 missing values generated)

{com}. replace old=0 if old!=1&age!=.
{txt}(11,028 real changes made)

{com}. gen age_cat=1 if young==1
{txt}(7,764 missing values generated)

{com}. replace age_cat=2 if middleage==1
{txt}(6,852 real changes made)

{com}. replace age_cat=3 if old==1
{txt}(912 real changes made)

{com}. 
. reg forced india##age_cat, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(5, 1989)        =  {res}     1.62
                                                {txt}Prob > F          = {res}    0.1514
                                                {txt}R-squared         = {res}    0.0007
                                                {txt}Root MSE          =    {res} .49995

{txt}{ralign 79:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}       forced{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}india {c |}
{space 4}Friendly  {c |}{col 15}{res}{space 2}   -0.007{col 27}{space 2}    0.016{col 38}{space 1}   -0.42{col 47}{space 3}0.677{col 55}{space 4}   -0.038{col 68}{space 3}    0.025
{txt}{space 13} {c |}
{space 6}age_cat {c |}
{space 11}2  {c |}{col 15}{res}{space 2}    0.007{col 27}{space 2}    0.010{col 38}{space 1}    0.73{col 47}{space 3}0.468{col 55}{space 4}   -0.012{col 68}{space 3}    0.027
{txt}{space 11}3  {c |}{col 15}{res}{space 2}    0.036{col 27}{space 2}    0.019{col 38}{space 1}    1.88{col 47}{space 3}0.061{col 55}{space 4}   -0.002{col 68}{space 3}    0.073
{txt}{space 13} {c |}
india#age_cat {c |}
{space 2}Friendly#2  {c |}{col 15}{res}{space 2}   -0.014{col 27}{space 2}    0.020{col 38}{space 1}   -0.70{col 47}{space 3}0.483{col 55}{space 4}   -0.054{col 68}{space 3}    0.026
{txt}{space 2}Friendly#3  {c |}{col 15}{res}{space 2}   -0.070{col 27}{space 2}    0.038{col 38}{space 1}   -1.86{col 47}{space 3}0.063{col 55}{space 4}   -0.144{col 68}{space 3}    0.004
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}    0.503{col 27}{space 2}    0.008{col 38}{space 1}   64.17{col 47}{space 3}0.000{col 55}{space 4}    0.488{col 68}{space 3}    0.519
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg forced india if age_cat==1, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     4,176
                                                {txt}F(1, 695)         =  {res}     0.17
                                                {txt}Prob > F          = {res}    0.6771
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .50011

{txt}{ralign 78:(Std. Err. adjusted for {res:696} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.007{col 26}{space 2}    0.016{col 37}{space 1}   -0.42{col 46}{space 3}0.677{col 54}{space 4}   -0.038{col 67}{space 3}    0.025
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.510{col 26}{space 2}    0.024{col 37}{space 1}   21.29{col 46}{space 3}0.000{col 54}{space 4}    0.463{col 67}{space 3}    0.557
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto young
{txt}
{com}. reg forced india if age_cat==2, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     6,852
                                                {txt}F(1, 1141)        =  {res}     2.84
                                                {txt}Prob > F          = {res}    0.0924
                                                {txt}R-squared         = {res}    0.0004
                                                {txt}Root MSE          =    {res} .49996

{txt}{ralign 78:(Std. Err. adjusted for {res:1,142} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.021{col 26}{space 2}    0.012{col 37}{space 1}   -1.68{col 46}{space 3}0.092{col 54}{space 4}   -0.045{col 67}{space 3}    0.003
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.532{col 26}{space 2}    0.019{col 37}{space 1}   28.34{col 46}{space 3}0.000{col 54}{space 4}    0.495{col 67}{space 3}    0.568
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto middleage
{txt}
{com}. reg forced india if age_cat==3, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}       912
                                                {txt}F(1, 151)         =  {res}     5.05
                                                {txt}Prob > F          = {res}    0.0261
                                                {txt}R-squared         = {res}    0.0059
                                                {txt}Root MSE          =    {res} .49907

{txt}{ralign 78:(Std. Err. adjusted for {res:152} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.077{col 26}{space 2}    0.034{col 37}{space 1}   -2.25{col 46}{space 3}0.026{col 54}{space 4}   -0.144{col 67}{space 3}   -0.009
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.616{col 26}{space 2}    0.052{col 37}{space 1}   11.95{col 46}{space 3}0.000{col 54}{space 4}    0.514{col 67}{space 3}    0.718
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto old
{txt}
{com}. reg forced india##age_cat, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(5, 1989)        =  {res}     1.62
                                                {txt}Prob > F          = {res}    0.1514
                                                {txt}R-squared         = {res}    0.0007
                                                {txt}Root MSE          =    {res} .49995

{txt}{ralign 79:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}       forced{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}india {c |}
{space 4}Friendly  {c |}{col 15}{res}{space 2}   -0.007{col 27}{space 2}    0.016{col 38}{space 1}   -0.42{col 47}{space 3}0.677{col 55}{space 4}   -0.038{col 68}{space 3}    0.025
{txt}{space 13} {c |}
{space 6}age_cat {c |}
{space 11}2  {c |}{col 15}{res}{space 2}    0.007{col 27}{space 2}    0.010{col 38}{space 1}    0.73{col 47}{space 3}0.468{col 55}{space 4}   -0.012{col 68}{space 3}    0.027
{txt}{space 11}3  {c |}{col 15}{res}{space 2}    0.036{col 27}{space 2}    0.019{col 38}{space 1}    1.88{col 47}{space 3}0.061{col 55}{space 4}   -0.002{col 68}{space 3}    0.073
{txt}{space 13} {c |}
india#age_cat {c |}
{space 2}Friendly#2  {c |}{col 15}{res}{space 2}   -0.014{col 27}{space 2}    0.020{col 38}{space 1}   -0.70{col 47}{space 3}0.483{col 55}{space 4}   -0.054{col 68}{space 3}    0.026
{txt}{space 2}Friendly#3  {c |}{col 15}{res}{space 2}   -0.070{col 27}{space 2}    0.038{col 38}{space 1}   -1.86{col 47}{space 3}0.063{col 55}{space 4}   -0.144{col 68}{space 3}    0.004
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}    0.503{col 27}{space 2}    0.008{col 38}{space 1}   64.17{col 47}{space 3}0.000{col 55}{space 4}    0.488{col 68}{space 3}    0.519
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test 2.india#2.age_cat=2.india#3.age_cat

{p 0 7}{space 1}{text:( 1)}{space 1} {res}2.india#2.age_cat - 2.india#3.age_cat = 0{p_end}

{txt}       F(  1,  1989) ={res}    2.36
{txt}{col 13}Prob > F ={res}    0.1244
{txt}
{com}. coefplot young middleage old, drop(_cons) xline(0, lpattern(dash)) scheme(s1mono) legend(row(1))
{res}{txt}
{com}. 
. * "In a subgroup test for those respondents who label India a “very serious” threat to Pakistan" 
. * "(45% of our sample) compared to those voters who perceive India as a less serious threat..."
. fre q50 
{res}
{txt}q50 {hline 2} How serious of a threat is Indi
{txt}{hline 19}{hline 1}{c TT}{hline 44}
{txt}        {txt}            {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 19}{hline 1}{c +}{hline 44}
{txt}Valid   1  ���"Very {c |}{res}       5316      44.52      44.52      44.52
{txt}        2  �� "Some {c |}{res}       4026      33.72      33.72      78.24
{txt}        3  ����"Min {c |}{res}       1632      13.67      13.67      91.91
{txt}        4  ��� "Not {c |}{res}        768       6.43       6.43      98.34
{txt}        99 NR / DK  {c |}{res}        198       1.66       1.66     100.00
{txt}        Total       {c |}{res}      11940     100.00     100.00           
{txt}{hline 19}{hline 1}{c BT}{hline 44}

{com}. gen seriousthreat=1 if q50==1
{txt}(6,624 missing values generated)

{com}. replace seriousthreat=0 if seriousthreat!=1
{txt}(6,624 real changes made)

{com}. 
. * "...we find that the two groups do not differ in their choice of candidates who advocate hardline policies"
. * "toward India (difference in means=0.008, p=.410). 
. reg forced seriousthreat if india==2, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     5,941
                                                {txt}F(1, 1962)        =  {res}     0.67
                                                {txt}Prob > F          = {res}    0.4118
                                                {txt}R-squared         = {res}    0.0001
                                                {txt}Root MSE          =    {res} .49997

{txt}{ralign 79:(Std. Err. adjusted for {res:1,963} clusters in new_id)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}       forced{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
seriousthreat {c |}{col 15}{res}{space 2}   -0.008{col 27}{space 2}    0.010{col 38}{space 1}   -0.82{col 47}{space 3}0.412{col 55}{space 4}   -0.027{col 68}{space 3}    0.011
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}    0.493{col 27}{space 2}    0.006{col 38}{space 1}   76.76{col 47}{space 3}0.000{col 55}{space 4}    0.481{col 68}{space 3}    0.506
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg forced india##seriousthreat, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(3, 1989)        =  {res}     1.76
                                                {txt}Prob > F          = {res}    0.1522
                                                {txt}R-squared         = {res}    0.0005
                                                {txt}Root MSE          =    {res} .49997

{txt}{ralign 81:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         forced{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}india {c |}
{space 6}Friendly  {c |}{col 17}{res}{space 2}   -0.013{col 29}{space 2}    0.013{col 40}{space 1}   -1.04{col 49}{space 3}0.299{col 57}{space 4}   -0.038{col 70}{space 3}    0.012
{txt}1.seriousthreat {c |}{col 17}{res}{space 2}    0.008{col 29}{space 2}    0.009{col 40}{space 1}    0.83{col 49}{space 3}0.409{col 57}{space 4}   -0.011{col 70}{space 3}    0.026
{txt}{space 15} {c |}
{space 10}india#{c |}
{space 2}seriousthreat {c |}
{space 4}Friendly#1  {c |}{col 17}{res}{space 2}   -0.016{col 29}{space 2}    0.019{col 40}{space 1}   -0.82{col 49}{space 3}0.410{col 57}{space 4}   -0.053{col 70}{space 3}    0.022
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}    0.507{col 29}{space 2}    0.006{col 40}{space 1}   79.73{col 49}{space 3}0.000{col 57}{space 4}    0.494{col 70}{space 3}    0.519
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. lincom 1.seriousthreat+1.seriousthreat#2.india

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1.seriousthreat + 2.india#1.seriousthreat = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}   -0.008{col 26}{space 2}    0.010{col 37}{space 1}   -0.82{col 46}{space 3}0.412{col 54}{space 4}   -0.027{col 67}{space 3}    0.011
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * "...PML-N supporters selecting candidates friendly toward India 2.5 percentage points (p<0.05)"
. * "more often than non-PML-N supporters." 
. gen pmln_close=1 if close_to_party==2
{txt}(7,266 missing values generated)

{com}. replace pmln_close=0 if close_to_party!=2&close_to_party!=.
{txt}(7,266 real changes made)

{com}. reg forced pmln_close if india==2, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     5,941
                                                {txt}F(1, 1962)        =  {res}     6.35
                                                {txt}Prob > F          = {res}    0.0118
                                                {txt}R-squared         = {res}    0.0006
                                                {txt}Root MSE          =    {res} .49984

{txt}{ralign 78:(Std. Err. adjusted for {res:1,963} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}pmln_close {c |}{col 14}{res}{space 2}    0.025{col 26}{space 2}    0.010{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4}    0.005{col 67}{space 3}    0.044
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.480{col 26}{space 2}    0.006{col 37}{space 1}   78.83{col 46}{space 3}0.000{col 54}{space 4}    0.468{col 67}{space 3}    0.492
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg forced india##pmln_close, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(3, 1989)        =  {res}     3.67
                                                {txt}Prob > F          = {res}    0.0119
                                                {txt}R-squared         = {res}    0.0010
                                                {txt}Root MSE          =    {res} .49984

{txt}{ralign 78:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}
{space 3}Friendly  {c |}{col 14}{res}{space 2}   -0.039{col 26}{space 2}    0.012{col 37}{space 1}   -3.26{col 46}{space 3}0.001{col 54}{space 4}   -0.063{col 67}{space 3}   -0.016
{txt}1.pmln_close {c |}{col 14}{res}{space 2}   -0.024{col 26}{space 2}    0.010{col 37}{space 1}   -2.50{col 46}{space 3}0.013{col 54}{space 4}   -0.043{col 67}{space 3}   -0.005
{txt}{space 12} {c |}
{space 7}india#{c |}
{space 2}pmln_close {c |}
{space 1}Friendly#1  {c |}{col 14}{res}{space 2}    0.049{col 26}{space 2}    0.019{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4}    0.011{col 67}{space 3}    0.087
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}    0.520{col 26}{space 2}    0.006{col 37}{space 1}   86.45{col 46}{space 3}0.000{col 54}{space 4}    0.508{col 67}{space 3}    0.531
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. lincom 1.pmln_close+1.pmln_close#2.india

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1.pmln_close + 2.india#1.pmln_close = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}    0.025{col 26}{space 2}    0.010{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4}    0.005{col 67}{space 3}    0.044
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. ****** Appendix
. 
. *** Appendix C
. sum age, detail

                      {txt}How old are you? 
{hline 61}
      Percentiles      Smallest
 1%    {res}       18             18
{txt} 5%    {res}       19             18
{txt}10%    {res}       21             18       {txt}Obs         {res}     11,940
{txt}25%    {res}       25             18       {txt}Sum of Wgt. {res}     11,940

{txt}50%    {res}       35                      {txt}Mean          {res} 36.19196
                        {txt}Largest       Std. Dev.     {res} 12.54056
{txt}75%    {res}       45             90
{txt}90%    {res}       54             90       {txt}Variance      {res} 157.2658
{txt}95%    {res}       60             90       {txt}Skewness      {res} .6862593
{txt}99%    {res}       70             90       {txt}Kurtosis      {res} 3.187693
{txt}
{com}. gen hiincome=1 if income==5|income==6
{txt}(8,016 missing values generated)

{com}. replace hiincome=0 if income<=4
{txt}(7,680 real changes made)

{com}. sum hiincome

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}hiincome {c |}{res}     11,604    .3381593    .4731034          0          1
{txt}
{com}. gen low_educ=1 if education==1|education==2|education==3|education==4
{txt}(4,866 missing values generated)

{com}. replace low_educ=0 if low_educ!=1
{txt}(4,866 real changes made)

{com}. sum low_educ

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}low_educ {c |}{res}     11,940    .5924623    .4913969          0          1
{txt}
{com}. sum pmln_close

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}pmln_close {c |}{res}     11,940    .3914573    .4880967          0          1
{txt}
{com}. gen pti_close=1 if close_to_party==8
{txt}(9,102 missing values generated)

{com}. replace pti_close=0 if close_to_party!=8
{txt}(9,102 real changes made)

{com}. sum pti_close

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}pti_close {c |}{res}     11,940    .2376884    .4256851          0          1
{txt}
{com}. gen ppp_close=1 if close_to_party==1
{txt}(9,888 missing values generated)

{com}. replace ppp_close=0 if close_to_party!=1
{txt}(9,888 real changes made)

{com}. sum ppp_close

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}ppp_close {c |}{res}     11,940    .1718593    .3772739          0          1
{txt}
{com}. sum gender

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}gender {c |}{res}     11,940    .3643216    .4812596          0          1
{txt}
{com}. sum rural

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}rural {c |}{res}     11,940    .6376884    .4806883          0          1
{txt}
{com}. gen punjab_res=1 if province==1
{txt}(5,976 missing values generated)

{com}. replace punjab_res=0 if province==2|province==3
{txt}(5,976 real changes made)

{com}. sum punjab_res

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}punjab_res {c |}{res}     11,940    .4994975    .5000207          0          1
{txt}
{com}. gen sindh_res=1 if province==3
{txt}(8,328 missing values generated)

{com}. replace sindh_res=0 if province==1|province==2
{txt}(8,328 real changes made)

{com}. sum sindh_res

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}sindh_res {c |}{res}     11,940    .3025126    .4593652          0          1
{txt}
{com}. gen kpk_res=1 if province==2
{txt}(9,576 missing values generated)

{com}. replace kpk_res=0 if province==1|province==3
{txt}(9,576 real changes made)

{com}. sum kpk_res

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}kpk_res {c |}{res}     11,940    .1979899    .3985012          0          1
{txt}
{com}. gen muhajir=1 if ethnicity==1
{txt}(10,860 missing values generated)

{com}. replace muhajir=0 if ethnicity!=1
{txt}(10,860 real changes made)

{com}. gen sindhi=1 if ethnicity==3
{txt}(10,290 missing values generated)

{com}. replace sindhi=0 if ethnicity!=3
{txt}(10,290 real changes made)

{com}. gen pashtun=1 if ethnicity==6
{txt}(9,450 missing values generated)

{com}. replace pashtun=0 if ethnicity!=6
{txt}(9,450 real changes made)

{com}. sum muhajir

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}muhajir {c |}{res}     11,940    .0904523    .2868406          0          1
{txt}
{com}. 
. *** Appendix D
. gen age_sq=age*age
{txt}
{com}. reg india hiincome low_educ pmln_close pti_close ppp_close gender age age_sq rural muhajir punjabi sindhi pashtun, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,604
                                                {txt}F(13, 1933)       =  {res}     1.16
                                                {txt}Prob > F          = {res}    0.3035
                                                {txt}R-squared         = {res}    0.0012
                                                {txt}Root MSE          =    {res} .49999

{txt}{ralign 78:(Std. Err. adjusted for {res:1,934} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       india{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}hiincome {c |}{col 14}{res}{space 2}    0.013{col 26}{space 2}    0.011{col 37}{space 1}    1.10{col 46}{space 3}0.270{col 54}{space 4}   -0.010{col 67}{space 3}    0.035
{txt}{space 4}low_educ {c |}{col 14}{res}{space 2}   -0.008{col 26}{space 2}    0.011{col 37}{space 1}   -0.73{col 46}{space 3}0.464{col 54}{space 4}   -0.029{col 67}{space 3}    0.013
{txt}{space 2}pmln_close {c |}{col 14}{res}{space 2}   -0.006{col 26}{space 2}    0.016{col 37}{space 1}   -0.41{col 46}{space 3}0.684{col 54}{space 4}   -0.037{col 67}{space 3}    0.024
{txt}{space 3}pti_close {c |}{col 14}{res}{space 2}   -0.018{col 26}{space 2}    0.016{col 37}{space 1}   -1.15{col 46}{space 3}0.249{col 54}{space 4}   -0.049{col 67}{space 3}    0.013
{txt}{space 3}ppp_close {c |}{col 14}{res}{space 2}    0.028{col 26}{space 2}    0.017{col 37}{space 1}    1.68{col 46}{space 3}0.092{col 54}{space 4}   -0.005{col 67}{space 3}    0.060
{txt}{space 6}gender {c |}{col 14}{res}{space 2}    0.002{col 26}{space 2}    0.010{col 37}{space 1}    0.16{col 46}{space 3}0.875{col 54}{space 4}   -0.018{col 67}{space 3}    0.021
{txt}{space 9}age {c |}{col 14}{res}{space 2}    0.002{col 26}{space 2}    0.002{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4}   -0.002{col 67}{space 3}    0.005
{txt}{space 6}age_sq {c |}{col 14}{res}{space 2}   -0.000{col 26}{space 2}    0.000{col 37}{space 1}   -0.54{col 46}{space 3}0.592{col 54}{space 4}   -0.000{col 67}{space 3}    0.000
{txt}{space 7}rural {c |}{col 14}{res}{space 2}    0.002{col 26}{space 2}    0.011{col 37}{space 1}    0.22{col 46}{space 3}0.829{col 54}{space 4}   -0.019{col 67}{space 3}    0.024
{txt}{space 5}muhajir {c |}{col 14}{res}{space 2}   -0.007{col 26}{space 2}    0.023{col 37}{space 1}   -0.29{col 46}{space 3}0.773{col 54}{space 4}   -0.051{col 67}{space 3}    0.038
{txt}{space 5}punjabi {c |}{col 14}{res}{space 2}    0.011{col 26}{space 2}    0.016{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}   -0.020{col 67}{space 3}    0.042
{txt}{space 6}sindhi {c |}{col 14}{res}{space 2}   -0.029{col 26}{space 2}    0.019{col 37}{space 1}   -1.57{col 46}{space 3}0.118{col 54}{space 4}   -0.066{col 67}{space 3}    0.007
{txt}{space 5}pashtun {c |}{col 14}{res}{space 2}    0.015{col 26}{space 2}    0.017{col 37}{space 1}    0.85{col 46}{space 3}0.396{col 54}{space 4}   -0.019{col 67}{space 3}    0.049
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    1.460{col 26}{space 2}    0.043{col 37}{space 1}   34.33{col 46}{space 3}0.000{col 54}{space 4}    1.377{col 67}{space 3}    1.544
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *** Appendix E
. ** Table E1
. reg forced india, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(1, 1989)        =  {res}     4.57
                                                {txt}Prob > F          = {res}    0.0326
                                                {txt}R-squared         = {res}    0.0004
                                                {txt}Root MSE          =    {res} .49994

{txt}{ralign 78:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.020{col 26}{space 2}    0.009{col 37}{space 1}   -2.14{col 46}{space 3}0.033{col 54}{space 4}   -0.039{col 67}{space 3}   -0.002
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.530{col 26}{space 2}    0.014{col 37}{space 1}   37.36{col 46}{space 3}0.000{col 54}{space 4}    0.503{col 67}{space 3}    0.558
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg likert india, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(1, 1989)        =  {res}     0.10
                                                {txt}Prob > F          = {res}    0.7476
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} 2.1219

{txt}{ralign 78:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      likert{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.013{col 26}{space 2}    0.040{col 37}{space 1}   -0.32{col 46}{space 3}0.748{col 54}{space 4}   -0.091{col 67}{space 3}    0.065
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    4.302{col 26}{space 2}    0.062{col 37}{space 1}   69.73{col 46}{space 3}0.000{col 54}{space 4}    4.181{col 67}{space 3}    4.423
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ** Table E2
. reg forced india, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(1, 1989)        =  {res}     4.57
                                                {txt}Prob > F          = {res}    0.0326
                                                {txt}R-squared         = {res}    0.0004
                                                {txt}Root MSE          =    {res} .49994

{txt}{ralign 78:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.020{col 26}{space 2}    0.009{col 37}{space 1}   -2.14{col 46}{space 3}0.033{col 54}{space 4}   -0.039{col 67}{space 3}   -0.002
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.530{col 26}{space 2}    0.014{col 37}{space 1}   37.36{col 46}{space 3}0.000{col 54}{space 4}    0.503{col 67}{space 3}    0.558
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg forced india if province==1, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     5,964
                                                {txt}F(1, 993)         =  {res}     0.05
                                                {txt}Prob > F          = {res}    0.8205
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .50008

{txt}{ralign 78:(Std. Err. adjusted for {res:994} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.003{col 26}{space 2}    0.013{col 37}{space 1}   -0.23{col 46}{space 3}0.821{col 54}{space 4}   -0.029{col 67}{space 3}    0.023
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.505{col 26}{space 2}    0.020{col 37}{space 1}   25.32{col 46}{space 3}0.000{col 54}{space 4}    0.465{col 67}{space 3}    0.544
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg forced india if province==3, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     3,612
                                                {txt}F(1, 601)         =  {res}     3.02
                                                {txt}Prob > F          = {res}    0.0826
                                                {txt}R-squared         = {res}    0.0008
                                                {txt}Root MSE          =    {res} .49994

{txt}{ralign 78:(Std. Err. adjusted for {res:602} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.028{col 26}{space 2}    0.016{col 37}{space 1}   -1.74{col 46}{space 3}0.083{col 54}{space 4}   -0.060{col 67}{space 3}    0.004
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.542{col 26}{space 2}    0.024{col 37}{space 1}   22.33{col 46}{space 3}0.000{col 54}{space 4}    0.495{col 67}{space 3}    0.590
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg forced india if province==2, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     2,364
                                                {txt}F(1, 393)         =  {res}     4.86
                                                {txt}Prob > F          = {res}    0.0281
                                                {txt}R-squared         = {res}    0.0027
                                                {txt}Root MSE          =    {res} .49955

{txt}{ralign 78:(Std. Err. adjusted for {res:394} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.052{col 26}{space 2}    0.023{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}   -0.098{col 67}{space 3}   -0.006
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.577{col 26}{space 2}    0.035{col 37}{space 1}   16.43{col 46}{space 3}0.000{col 54}{space 4}    0.508{col 67}{space 3}    0.647
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg forced india##province, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(5, 1989)        =  {res}     1.59
                                                {txt}Prob > F          = {res}    0.1592
                                                {txt}R-squared         = {res}    0.0008
                                                {txt}Root MSE          =    {res} .49993

{txt}{ralign 81:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         forced{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}india {c |}
{space 6}Friendly  {c |}{col 17}{res}{space 2}   -0.003{col 29}{space 2}    0.013{col 40}{space 1}   -0.23{col 49}{space 3}0.820{col 57}{space 4}   -0.029{col 70}{space 3}    0.023
{txt}{space 15} {c |}
{space 7}province {c |}
{space 11}KPK  {c |}{col 17}{res}{space 2}    0.024{col 29}{space 2}    0.013{col 40}{space 1}    1.81{col 49}{space 3}0.071{col 57}{space 4}   -0.002{col 70}{space 3}    0.051
{txt}{space 9}Sindh  {c |}{col 17}{res}{space 2}    0.012{col 29}{space 2}    0.010{col 40}{space 1}    1.20{col 49}{space 3}0.232{col 57}{space 4}   -0.008{col 70}{space 3}    0.033
{txt}{space 15} {c |}
{space 1}india#province {c |}
{space 2}Friendly#KPK  {c |}{col 17}{res}{space 2}   -0.049{col 29}{space 2}    0.027{col 40}{space 1}   -1.81{col 49}{space 3}0.071{col 57}{space 4}   -0.101{col 70}{space 3}    0.004
{txt}Friendly#Sindh  {c |}{col 17}{res}{space 2}   -0.025{col 29}{space 2}    0.021{col 40}{space 1}   -1.20{col 49}{space 3}0.229{col 57}{space 4}   -0.066{col 70}{space 3}    0.016
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}    0.502{col 29}{space 2}    0.007{col 40}{space 1}   75.65{col 49}{space 3}0.000{col 57}{space 4}    0.489{col 70}{space 3}    0.515
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ** Table E3
. reg forced i.party i.biradari i.campaign i.agenda i.india if province==1, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     5,964
                                                {txt}F(9, 993)         =  {res}    54.99
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0690
                                                {txt}Root MSE          =    {res} .48285

{txt}{ralign 78:(Std. Err. adjusted for {res:994} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}party {c |}
{space 6}PML-N  {c |}{col 14}{res}{space 2}    0.296{col 26}{space 2}    0.018{col 37}{space 1}   16.42{col 46}{space 3}0.000{col 54}{space 4}    0.261{col 67}{space 3}    0.332
{txt}{space 8}PTI  {c |}{col 14}{res}{space 2}    0.095{col 26}{space 2}    0.019{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4}    0.056{col 67}{space 3}    0.133
{txt}{space 5}Indep.  {c |}{col 14}{res}{space 2}    0.111{col 26}{space 2}    0.019{col 37}{space 1}    5.86{col 46}{space 3}0.000{col 54}{space 4}    0.074{col 67}{space 3}    0.149
{txt}{space 12} {c |}
{space 4}biradari {c |}
{space 3}Your bir  {c |}{col 14}{res}{space 2}    0.064{col 26}{space 2}    0.014{col 37}{space 1}    4.75{col 46}{space 3}0.000{col 54}{space 4}    0.038{col 67}{space 3}    0.091
{txt}{space 12} {c |}
{space 4}campaign {c |}
{space 3}ran a pe  {c |}{col 14}{res}{space 2}    0.119{col 26}{space 2}    0.013{col 37}{space 1}    8.90{col 46}{space 3}0.000{col 54}{space 4}    0.093{col 67}{space 3}    0.146
{txt}{space 12} {c |}
{space 6}agenda {c |}
{space 3}reduce c  {c |}{col 14}{res}{space 2}    0.049{col 26}{space 2}    0.018{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4}    0.013{col 67}{space 3}    0.085
{txt}{space 3}favor yo  {c |}{col 14}{res}{space 2}    0.049{col 26}{space 2}    0.017{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4}    0.015{col 67}{space 3}    0.083
{txt}{space 3}improve   {c |}{col 14}{res}{space 2}    0.081{col 26}{space 2}    0.017{col 37}{space 1}    4.68{col 46}{space 3}0.000{col 54}{space 4}    0.047{col 67}{space 3}    0.115
{txt}{space 12} {c |}
{space 7}india {c |}
{space 3}Friendly  {c |}{col 14}{res}{space 2}   -0.008{col 26}{space 2}    0.013{col 37}{space 1}   -0.60{col 46}{space 3}0.547{col 54}{space 4}   -0.033{col 67}{space 3}    0.017
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.238{col 26}{space 2}    0.019{col 37}{space 1}   12.58{col 46}{space 3}0.000{col 54}{space 4}    0.201{col 67}{space 3}    0.275
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ** Table E4
. reg forced india if educ3==1, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     4,494
                                                {txt}F(1, 748)         =  {res}     5.23
                                                {txt}Prob > F          = {res}    0.0225
                                                {txt}R-squared         = {res}    0.0012
                                                {txt}Root MSE          =    {res}  .4998

{txt}{ralign 78:(Std. Err. adjusted for {res:749} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.035{col 26}{space 2}    0.015{col 37}{space 1}   -2.29{col 46}{space 3}0.023{col 54}{space 4}   -0.065{col 67}{space 3}   -0.005
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.552{col 26}{space 2}    0.023{col 37}{space 1}   24.12{col 46}{space 3}0.000{col 54}{space 4}    0.507{col 67}{space 3}    0.597
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg forced india if educ3==2, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     4,902
                                                {txt}F(1, 816)         =  {res}     1.24
                                                {txt}Prob > F          = {res}    0.2660
                                                {txt}R-squared         = {res}    0.0003
                                                {txt}Root MSE          =    {res} .50003

{txt}{ralign 78:(Std. Err. adjusted for {res:817} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.017{col 26}{space 2}    0.015{col 37}{space 1}   -1.11{col 46}{space 3}0.266{col 54}{space 4}   -0.046{col 67}{space 3}    0.013
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.525{col 26}{space 2}    0.023{col 37}{space 1}   23.19{col 46}{space 3}0.000{col 54}{space 4}    0.481{col 67}{space 3}    0.570
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg forced india if educ3==3, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     2,112
                                                {txt}F(1, 351)         =  {res}     0.32
                                                {txt}Prob > F          = {res}    0.5742
                                                {txt}R-squared         = {res}    0.0002
                                                {txt}Root MSE          =    {res}  .5002

{txt}{ralign 78:(Std. Err. adjusted for {res:352} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}    0.012{col 26}{space 2}    0.022{col 37}{space 1}    0.56{col 46}{space 3}0.574{col 54}{space 4}   -0.031{col 67}{space 3}    0.055
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.481{col 26}{space 2}    0.033{col 37}{space 1}   14.63{col 46}{space 3}0.000{col 54}{space 4}    0.417{col 67}{space 3}    0.546
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg forced india##educ3, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,508
                                                {txt}F(5, 1917)        =  {res}     1.36
                                                {txt}Prob > F          = {res}    0.2373
                                                {txt}R-squared         = {res}    0.0006
                                                {txt}Root MSE          =    {res} .49997

{txt}{ralign 78:(Std. Err. adjusted for {res:1,918} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}
{space 3}Friendly  {c |}{col 14}{res}{space 2}   -0.035{col 26}{space 2}    0.015{col 37}{space 1}   -2.29{col 46}{space 3}0.022{col 54}{space 4}   -0.065{col 67}{space 3}   -0.005
{txt}{space 12} {c |}
{space 7}educ3 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}   -0.009{col 26}{space 2}    0.011{col 37}{space 1}   -0.81{col 46}{space 3}0.417{col 54}{space 4}   -0.030{col 67}{space 3}    0.012
{txt}{space 10}3  {c |}{col 14}{res}{space 2}   -0.023{col 26}{space 2}    0.013{col 37}{space 1}   -1.75{col 46}{space 3}0.080{col 54}{space 4}   -0.049{col 67}{space 3}    0.003
{txt}{space 12} {c |}
{space 1}india#educ3 {c |}
{space 1}Friendly#2  {c |}{col 14}{res}{space 2}    0.018{col 26}{space 2}    0.022{col 37}{space 1}    0.86{col 46}{space 3}0.391{col 54}{space 4}   -0.024{col 67}{space 3}    0.061
{txt}{space 1}Friendly#3  {c |}{col 14}{res}{space 2}    0.047{col 26}{space 2}    0.027{col 37}{space 1}    1.78{col 46}{space 3}0.076{col 54}{space 4}   -0.005{col 67}{space 3}    0.100
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}    0.517{col 26}{space 2}    0.008{col 37}{space 1}   68.84{col 46}{space 3}0.000{col 54}{space 4}    0.502{col 67}{space 3}    0.532
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ** Table E5
. reg forced india if age_cat==1, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     4,176
                                                {txt}F(1, 695)         =  {res}     0.17
                                                {txt}Prob > F          = {res}    0.6771
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .50011

{txt}{ralign 78:(Std. Err. adjusted for {res:696} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.007{col 26}{space 2}    0.016{col 37}{space 1}   -0.42{col 46}{space 3}0.677{col 54}{space 4}   -0.038{col 67}{space 3}    0.025
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.510{col 26}{space 2}    0.024{col 37}{space 1}   21.29{col 46}{space 3}0.000{col 54}{space 4}    0.463{col 67}{space 3}    0.557
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg forced india if age_cat==2, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}     6,852
                                                {txt}F(1, 1141)        =  {res}     2.84
                                                {txt}Prob > F          = {res}    0.0924
                                                {txt}R-squared         = {res}    0.0004
                                                {txt}Root MSE          =    {res} .49996

{txt}{ralign 78:(Std. Err. adjusted for {res:1,142} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.021{col 26}{space 2}    0.012{col 37}{space 1}   -1.68{col 46}{space 3}0.092{col 54}{space 4}   -0.045{col 67}{space 3}    0.003
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.532{col 26}{space 2}    0.019{col 37}{space 1}   28.34{col 46}{space 3}0.000{col 54}{space 4}    0.495{col 67}{space 3}    0.568
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg forced india if age_cat==3, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}       912
                                                {txt}F(1, 151)         =  {res}     5.05
                                                {txt}Prob > F          = {res}    0.0261
                                                {txt}R-squared         = {res}    0.0059
                                                {txt}Root MSE          =    {res} .49907

{txt}{ralign 78:(Std. Err. adjusted for {res:152} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}{col 14}{res}{space 2}   -0.077{col 26}{space 2}    0.034{col 37}{space 1}   -2.25{col 46}{space 3}0.026{col 54}{space 4}   -0.144{col 67}{space 3}   -0.009
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    0.616{col 26}{space 2}    0.052{col 37}{space 1}   11.95{col 46}{space 3}0.000{col 54}{space 4}    0.514{col 67}{space 3}    0.718
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg forced india##age_cat, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(5, 1989)        =  {res}     1.62
                                                {txt}Prob > F          = {res}    0.1514
                                                {txt}R-squared         = {res}    0.0007
                                                {txt}Root MSE          =    {res} .49995

{txt}{ralign 79:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}       forced{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}india {c |}
{space 4}Friendly  {c |}{col 15}{res}{space 2}   -0.007{col 27}{space 2}    0.016{col 38}{space 1}   -0.42{col 47}{space 3}0.677{col 55}{space 4}   -0.038{col 68}{space 3}    0.025
{txt}{space 13} {c |}
{space 6}age_cat {c |}
{space 11}2  {c |}{col 15}{res}{space 2}    0.007{col 27}{space 2}    0.010{col 38}{space 1}    0.73{col 47}{space 3}0.468{col 55}{space 4}   -0.012{col 68}{space 3}    0.027
{txt}{space 11}3  {c |}{col 15}{res}{space 2}    0.036{col 27}{space 2}    0.019{col 38}{space 1}    1.88{col 47}{space 3}0.061{col 55}{space 4}   -0.002{col 68}{space 3}    0.073
{txt}{space 13} {c |}
india#age_cat {c |}
{space 2}Friendly#2  {c |}{col 15}{res}{space 2}   -0.014{col 27}{space 2}    0.020{col 38}{space 1}   -0.70{col 47}{space 3}0.483{col 55}{space 4}   -0.054{col 68}{space 3}    0.026
{txt}{space 2}Friendly#3  {c |}{col 15}{res}{space 2}   -0.070{col 27}{space 2}    0.038{col 38}{space 1}   -1.86{col 47}{space 3}0.063{col 55}{space 4}   -0.144{col 68}{space 3}    0.004
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}    0.503{col 27}{space 2}    0.008{col 38}{space 1}   64.17{col 47}{space 3}0.000{col 55}{space 4}    0.488{col 68}{space 3}    0.519
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ** Table E6
. reg forced india##seriousthreat, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(3, 1989)        =  {res}     1.76
                                                {txt}Prob > F          = {res}    0.1522
                                                {txt}R-squared         = {res}    0.0005
                                                {txt}Root MSE          =    {res} .49997

{txt}{ralign 81:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         forced{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}india {c |}
{space 6}Friendly  {c |}{col 17}{res}{space 2}   -0.013{col 29}{space 2}    0.013{col 40}{space 1}   -1.04{col 49}{space 3}0.299{col 57}{space 4}   -0.038{col 70}{space 3}    0.012
{txt}1.seriousthreat {c |}{col 17}{res}{space 2}    0.008{col 29}{space 2}    0.009{col 40}{space 1}    0.83{col 49}{space 3}0.409{col 57}{space 4}   -0.011{col 70}{space 3}    0.026
{txt}{space 15} {c |}
{space 10}india#{c |}
{space 2}seriousthreat {c |}
{space 4}Friendly#1  {c |}{col 17}{res}{space 2}   -0.016{col 29}{space 2}    0.019{col 40}{space 1}   -0.82{col 49}{space 3}0.410{col 57}{space 4}   -0.053{col 70}{space 3}    0.022
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}    0.507{col 29}{space 2}    0.006{col 40}{space 1}   79.73{col 49}{space 3}0.000{col 57}{space 4}    0.494{col 70}{space 3}    0.519
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ** Table E7
. reg forced india##pmln_close, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(3, 1989)        =  {res}     3.67
                                                {txt}Prob > F          = {res}    0.0119
                                                {txt}R-squared         = {res}    0.0010
                                                {txt}Root MSE          =    {res} .49984

{txt}{ralign 78:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      forced{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}india {c |}
{space 3}Friendly  {c |}{col 14}{res}{space 2}   -0.039{col 26}{space 2}    0.012{col 37}{space 1}   -3.26{col 46}{space 3}0.001{col 54}{space 4}   -0.063{col 67}{space 3}   -0.016
{txt}1.pmln_close {c |}{col 14}{res}{space 2}   -0.024{col 26}{space 2}    0.010{col 37}{space 1}   -2.50{col 46}{space 3}0.013{col 54}{space 4}   -0.043{col 67}{space 3}   -0.005
{txt}{space 12} {c |}
{space 7}india#{c |}
{space 2}pmln_close {c |}
{space 1}Friendly#1  {c |}{col 14}{res}{space 2}    0.049{col 26}{space 2}    0.019{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4}    0.011{col 67}{space 3}    0.087
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}    0.520{col 26}{space 2}    0.006{col 37}{space 1}   86.45{col 46}{space 3}0.000{col 54}{space 4}    0.508{col 67}{space 3}    0.531
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *** Appendix F Alternative Age Cutoffs
. * Alternative Age Cutoffs - Appendix F
. * Model 1
. gen alt_age3=0 if age<45
{txt}(3,036 missing values generated)

{com}. replace alt_age3=1 if age>=45
{txt}(3,036 real changes made)

{com}. reg forced india##alt_age3, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(3, 1989)        =  {res}     2.80
                                                {txt}Prob > F          = {res}    0.0389
                                                {txt}R-squared         = {res}    0.0008
                                                {txt}Root MSE          =    {res} .49989

{txt}{ralign 80:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}        forced{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}india {c |}
{space 5}Friendly  {c |}{col 16}{res}{space 2}   -0.009{col 28}{space 2}    0.011{col 39}{space 1}   -0.84{col 48}{space 3}0.399{col 56}{space 4}   -0.031{col 69}{space 3}    0.012
{txt}{space 4}1.alt_age3 {c |}{col 16}{res}{space 2}    0.022{col 28}{space 2}    0.011{col 39}{space 1}    1.98{col 48}{space 3}0.047{col 56}{space 4}    0.000{col 69}{space 3}    0.043
{txt}{space 14} {c |}
india#alt_age3 {c |}
{space 3}Friendly#1  {c |}{col 16}{res}{space 2}   -0.043{col 28}{space 2}    0.022{col 39}{space 1}   -1.98{col 48}{space 3}0.048{col 56}{space 4}   -0.087{col 69}{space 3}   -0.000
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2}    0.505{col 28}{space 2}    0.005{col 39}{space 1}   93.16{col 48}{space 3}0.000{col 56}{space 4}    0.494{col 69}{space 3}    0.515
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * Model 2
. gen alt_age4=0 if age<50
{txt}(1,896 missing values generated)

{com}. replace alt_age4=1 if age>=50
{txt}(1,896 real changes made)

{com}. reg forced india##alt_age4, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(3, 1989)        =  {res}     2.73
                                                {txt}Prob > F          = {res}    0.0428
                                                {txt}R-squared         = {res}    0.0008
                                                {txt}Root MSE          =    {res} .49989

{txt}{ralign 80:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}        forced{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}india {c |}
{space 5}Friendly  {c |}{col 16}{res}{space 2}   -0.012{col 28}{space 2}    0.010{col 39}{space 1}   -1.18{col 48}{space 3}0.237{col 56}{space 4}   -0.032{col 69}{space 3}    0.008
{txt}{space 4}1.alt_age4 {c |}{col 16}{res}{space 2}    0.025{col 28}{space 2}    0.013{col 39}{space 1}    1.93{col 48}{space 3}0.054{col 56}{space 4}   -0.000{col 69}{space 3}    0.051
{txt}{space 14} {c |}
india#alt_age4 {c |}
{space 3}Friendly#1  {c |}{col 16}{res}{space 2}   -0.051{col 28}{space 2}    0.026{col 39}{space 1}   -1.94{col 48}{space 3}0.053{col 56}{space 4}   -0.103{col 69}{space 3}    0.001
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2}    0.506{col 28}{space 2}    0.005{col 39}{space 1}   98.83{col 48}{space 3}0.000{col 56}{space 4}    0.496{col 69}{space 3}    0.516
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * Model 3
. gen alt_age1=.
{txt}(11,940 missing values generated)

{com}. replace alt_age1=1 if age<25
{txt}(2,526 real changes made)

{com}. replace alt_age1=2 if age>=25&age<45
{txt}(6,378 real changes made)

{com}. replace alt_age1=3 if age>=45
{txt}(3,036 real changes made)

{com}. reg forced india##alt_age1, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}{help j_robustsingular:F(4, 1989) }       =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0008
                                                {txt}Root MSE          =    {res} .49993

{txt}{ralign 80:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}        forced{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}india {c |}
{space 5}Friendly  {c |}{col 16}{res}{space 2}    0.000{col 28}{space 2}    0.020{col 39}{space 1}    0.00{col 48}{space 3}1.000{col 56}{space 4}   -0.040{col 69}{space 3}    0.040
{txt}{space 14} {c |}
{space 6}alt_age1 {c |}
{space 12}2  {c |}{col 16}{res}{space 2}    0.006{col 28}{space 2}    0.012{col 39}{space 1}    0.54{col 48}{space 3}0.592{col 56}{space 4}   -0.017{col 69}{space 3}    0.030
{txt}{space 12}3  {c |}{col 16}{res}{space 2}    0.026{col 28}{space 2}    0.014{col 39}{space 1}    1.90{col 48}{space 3}0.058{col 56}{space 4}   -0.001{col 69}{space 3}    0.054
{txt}{space 14} {c |}
india#alt_age1 {c |}
{space 3}Friendly#2  {c |}{col 16}{res}{space 2}   -0.013{col 28}{space 2}    0.024{col 39}{space 1}   -0.53{col 48}{space 3}0.595{col 56}{space 4}   -0.060{col 69}{space 3}    0.035
{txt}{space 3}Friendly#3  {c |}{col 16}{res}{space 2}   -0.053{col 28}{space 2}    0.028{col 39}{space 1}   -1.89{col 48}{space 3}0.059{col 56}{space 4}   -0.108{col 69}{space 3}    0.002
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2}    0.500{col 28}{space 2}    0.010{col 39}{space 1}   49.65{col 48}{space 3}0.000{col 56}{space 4}    0.480{col 69}{space 3}    0.520
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * Model 4
. gen alt_age2=1 if age<30&age!=.
{txt}(7,764 missing values generated)

{com}. replace alt_age2=2 if age>=30&age<50
{txt}(5,868 real changes made)

{com}. replace alt_age2=3 if age>=50&age!=.
{txt}(1,896 real changes made)

{com}. replace alt_age2=. if age==.
{txt}(0 real changes made)

{com}. reg forced india##alt_age2, cluster(new_id)

{txt}Linear regression                               Number of obs     = {res}    11,940
                                                {txt}F(5, 1989)        =  {res}     1.68
                                                {txt}Prob > F          = {res}    0.1364
                                                {txt}R-squared         = {res}    0.0008
                                                {txt}Root MSE          =    {res} .49993

{txt}{ralign 80:(Std. Err. adjusted for {res:1,990} clusters in new_id)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}        forced{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}india {c |}
{space 5}Friendly  {c |}{col 16}{res}{space 2}   -0.007{col 28}{space 2}    0.016{col 39}{space 1}   -0.42{col 48}{space 3}0.677{col 56}{space 4}   -0.038{col 69}{space 3}    0.025
{txt}{space 14} {c |}
{space 6}alt_age2 {c |}
{space 12}2  {c |}{col 16}{res}{space 2}    0.005{col 28}{space 2}    0.010{col 39}{space 1}    0.47{col 48}{space 3}0.641{col 56}{space 4}   -0.015{col 69}{space 3}    0.025
{txt}{space 12}3  {c |}{col 16}{res}{space 2}    0.028{col 28}{space 2}    0.014{col 39}{space 1}    1.95{col 48}{space 3}0.051{col 56}{space 4}   -0.000{col 69}{space 3}    0.056
{txt}{space 14} {c |}
india#alt_age2 {c |}
{space 3}Friendly#2  {c |}{col 16}{res}{space 2}   -0.009{col 28}{space 2}    0.021{col 39}{space 1}   -0.45{col 48}{space 3}0.656{col 56}{space 4}   -0.050{col 69}{space 3}    0.032
{txt}{space 3}Friendly#3  {c |}{col 16}{res}{space 2}   -0.057{col 28}{space 2}    0.029{col 39}{space 1}   -1.94{col 48}{space 3}0.052{col 56}{space 4}   -0.114{col 69}{space 3}    0.001
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2}    0.503{col 28}{space 2}    0.008{col 39}{space 1}   64.17{col 48}{space 3}0.000{col 56}{space 4}    0.488{col 69}{space 3}    0.519
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/chrisclary/Dropbox/Dancess/Conjoint Collaboration/FPA/Final Data/clary_siddiqui_replication_log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}14 Jul 2020, 12:01:00
{txt}{.-}
{smcl}
{txt}{sf}{ul off}